Machine Learning Software Engineer

Overview

Machine Learning Software Engineer

Key Responsibilities

• Design and develop machine learning software solutions for device and thin-film metrology applications.
• Collaborate with cross-functional teams and customers to define and refine software requirements.
• Build and optimize machine learning models using regression techniques and the TensorFlow framework.
• Develop and implement efficient algorithms for real-world deployment.
• Design, develop, and manage APIs for internal and external integrations.
• Transform prototypes into production-grade, fully functional solutions.
• Implement software primarily using Python (with TensorFlow) or C#.
• Write comprehensive unit tests and provide technical support during testing phases.
• Document design and implementation details, and deliver technical presentations when required.
• Maintain and enhance software solutions throughout their development life cycle.
  

Required Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Electronics, or a related engineering discipline from Tier 1 or equivalent reputed institutes.
• Experience:
• Minimum 2 years of hands-on programming experience in Python or C#.
• Minimum 2 years of experience in Machine Learning and TensorFlow.
• Strong understanding of software architecture, modern development practices, and design patterns.
• Prior experience in product-based, semiconductor, or hardware manufacturing environments is mandatory.
• Consistent employment history with no major organizational gaps.